Soil moisture sensing with commodity RFID systems

Wang, Ju; Chang, Liqiong; Aggarwal, Shourya; Abari, Omid; Keshav, Srinivasan

doi:10.1145/3386901.3388940

Cited by 75 publications

(38 citation statements)

References 23 publications

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“…A Morse code modulation was used for wireless communication with a low-cost receiver by backscattering RF signals from an 868 MHz carrier emitter. An example of an RFID soil moisture sensing system is reported in [ 91 ], which exploits two RFID tags on a pot with a low-pass filtered differential minimum response threshold (DMRT) to estimate the soil moisture level. The extensive measurement campaigns revealed high soil moisture detection accuracy, able to considerably improve the productivity.…”

Section: Applicationsmentioning

confidence: 99%

A Review of RFID Sensors, the New Frontier of Internet of Things

Costa

Genovesi

Borgese³

et al. 2021

Sensors

179

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A review of technological solutions for RFID sensing and their current or envisioned applications is presented. The fundamentals of the wireless sensing technology are summarized in the first part of the work, and the benefits of adopting RFID sensors for replacing standard sensor-equipped Wi-Fi nodes are discussed. Emphasis is put on the absence of batteries and the lower cost of RFID sensors with respect to other sensor solutions available on the market. RFID sensors are critically compared by separating them into chipped and chipless configurations. Both categories are further analyzed with reference to their working mechanism (electronic, electromagnetic, and acoustic). RFID sensing through chip-equipped tags is now a mature technological solution, which is continuously increasing its presence on the market and in several applicative scenarios. On the other hand, chipless RFID sensing represents a relatively new concept, which could become a disruptive solution in the market, but further research in this field is necessary for customizing its employment in specific scenarios. The benefits and limitations of several tag configurations are shown and discussed. A summary of the most suitable applicative scenarios for RFID sensors are finally illustrated. Finally, a look at some sensing solutions available on the market are described and compared.

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Section: Applicationsmentioning

confidence: 99%

A Review of RFID Sensors, the New Frontier of Internet of Things

Costa

Genovesi

Borgese³

et al. 2021

Sensors

179

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“…Note, the twin-tag framework has been first introduced in [58] for crafting RFID tags with COTS sensors. Then, the twin-tag framework has been employed for different sensing applications (e.g., GreenTag [59] uses it for soil moisture sensing, RTSense [50] uses it for temperature sensing and [47] uses it for moisture sensing in automaker industry). However, RFDiaper is the first system using twin-tag framework for diaper wetness and urine pH sensing.…”

Section: Discussionmentioning

confidence: 99%

Healthy diapering with passive RFIDs for diaper wetness sensing and urine pH identification

Sun

Srinivasan

2021

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services

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In this paper, we present RFDiaper, a commodity passive RFID based healthy diapering system, which can sense the diaper wetness (i.e., wet/dry) and identify pH value of urine absorbed by the diaper. To do so, we leverage the coupling effect between the urine absorbed by the diaper and RFID tag, thereby the phase and amplitude variation can indicate urine pH and diaper wetness. However, rich scattering and dynamic environment exhibit a great challenge for accurate diaper wetness sensing and urine pH identification. Therefore, we propose a twin-tag based dynamic environment mitigation approach for robust and healthy diapering. Specifically, by extracting the differential amplitude and phase from the co-located sensing tag and reference tag (i.e., twin-tag) attached on the diaper, the multipath effect and the other dynamic factors (e.g., diaper wearer's body, tag's orientation and temperature, etc.) can be mitigated. Then, we detect the diaper wetness and estimate the urine pH based on differential amplitude and phase. We have implemented RFDiaper's design and evaluated its effectiveness with the experiments using commercial off-the-shelf (COTS) RFID tags attached on the diaper worn by the doll and the human subjects. RFDiaper can achieve the median accuracy of around 96% for diaper wetness sensing and urine pH estimation error of around 0.23 in dynamic environment. CCS CONCEPTS• Computer systems organization → Sensor networks; • Humancentered computing → Ubiquitous and mobile computing systems and tools; Human computer interaction (HCI).

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“…Interestingly, Tagtag [26] is a method for material sensing using two tags on a container, leveraging material-dependent phase change (i.e., antenna impedance changes). Also, soil moisture sensing is possible by attaching two tags on each pot based on signal change due to soil moisture [27].…”

Section: Rfidmentioning

confidence: 99%

<i>BAAS</i>: Backscatter as a Sensor for Ultra-Low-Power Context Recognition

Nakagawa

Maeda

Uchiyama

et al. 2022

Journal of Information Processing

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Context recognition has attracted attention for various daily life applications. Many existing approaches use micro-electromechanical systems (MEMS) sensors which require additional silicon chips to process and transmit the sensor data. The energy consumption of such components is relatively large, requiring maintenance for charging or replacing batteries. In this paper, we propose BAAS: a novel concept using Backscatter As A Sensor. BAAS recognizes contexts using a frequency shift backscatter tag with ultra-low power consumption. The key components of the backscatter tag are an oscillator and a motion switch. The state of the motion switch changes according to the movement of humans or the change of the situation of things. While the motion switch is on, the energy is supplied to the oscillator, and the frequency of the backscattered signal shifts according to the oscillation frequency of the oscillator. Context recognition is achieved by observing the existence and absence of the frequency shift. To demonstrate the feasibility of context recognition using the backscatter tag, we have implemented a prototype and evaluated its performance. Our results show that we can detect the frequency shift by BAAS within 3 m, backscattering BLE signal from an exciter implemented by a commodity device.

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Soil moisture sensing with commodity RFID systems

Cited by 75 publications

References 23 publications

A Review of RFID Sensors, the New Frontier of Internet of Things

A Review of RFID Sensors, the New Frontier of Internet of Things

Healthy diapering with passive RFIDs for diaper wetness sensing and urine pH identification

<i>BAAS</i>: Backscatter as a Sensor for Ultra-Low-Power Context Recognition

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